A Machine-Learning Approach to Parameter Estimation
Author | : Jim Kunce |
Publisher | : |
Total Pages | : |
Release | : 2017-07-07 |
ISBN-10 | : 0996889760 |
ISBN-13 | : 9780996889766 |
Rating | : 4/5 (60 Downloads) |
Download or read book A Machine-Learning Approach to Parameter Estimation written by Jim Kunce and published by . This book was released on 2017-07-07 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: A Machine-Learning Approach to Parameter Estimation, the sixth volume of the CAS Monograph Series, is now available for download. In this monograph, CAS Fellows Jim Kunce and Som Chatterjee address the use of machine-learning techniques to solve insurance problems. Their model can use any regression-based machine-learning algorithm to analyze the nonlinear relationships between the parameters of statistical distributions and features that relate to a specific problem. Unlike traditional stratification and segmentation, the authors' machine-learning approach to parameter estimation (MLAPE) learns the underlying parameter groups from the data and uses validation to ensure appropriate predictive powe